nuhaminae/End-to-End-Insurance-Risk-Analytics-and-Predictive-Modeling

End-to-end risk analytics pipeline for car insurance company. The data used was from a South African car insurance company. # End-to-End Insurance Risk Analytics and Predictive Modelling This repository provides a comprehensive, reproducible workflow for the analysis of insurance risk data and the development of predictive models to assess and manage insurance risk. The project is structured to guide users from data ingestion through to exploratory data analysis (EDA), feature engineering, and visualisation, with a strong emphasis on data quality, transparency, and best practices. --- ## Table of Contents - Overview - Features - Project Structure - Installation - Usage - Data - Modelling Approach - Results & Visualisations - DVC & Data Management - Continuous Integration - Contribution - Completion Status --- ## Overview The insurance industry relies extensively on data-driven techniques for risk assessment, pricing, and claims management. This repository demonstrates a full pipeline for insurance analytics, using Jupyter Notebooks and Python for all major analysis and modelling tasks. The project aims to serve as a practical resource for data scientists, actuaries, students, and industry professionals. --- ## Features - **End-to-end workflow** covering: - Data loading, cleaning, and pre-processing - Exploratory data analysis (EDA) and visualisation - Feature engineering and extraction - Transparent, modular code and notebook examples - **Reproducible research** using Jupyter Notebooks and DVC (Data Version Control) - **Automated testing** via CI workflow (GitHub Actions) - **Well-documented and adaptable** for application to similar datasets or business problems --- ## Project Structure ``` . ├── data/ # Raw and processed datasets (excluded from repo if confidential) ├── notebooks/ # Jupyter Notebooks for each stage of the workflow │ └──01_DataLoading.ipynb | └──02_EDA.ipynb | ... ├── TEST/ # Unit test notebooks for validation and reproducibility ├── scripts/ # Python scripts for reusable functio …